Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations

12 March 2022

Papers citing "Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations"

7 / 7 papers shown

Title
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. R. Mahmood CLL 40 9 0 02 Oct 2023
Teaching Networks to Solve Optimization Problems Xinran Liu Yuzhe Lu Ali Abbasi Meiyi Li Javad Mohammadi Soheil Kolouri 36 11 0 08 Feb 2022
TRGP: Trust Region Gradient Projection for Continual Learning Sen Lin Li Yang Deliang Fan Junshan Zhang CLL 78 73 0 07 Feb 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin Jia Shi Deepak Pathak Deva Ramanan CLL VLM 137 91 0 17 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 27 41 0 31 Dec 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 87 54 0 01 Oct 2021
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 26 114 0 14 Jun 2018